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Assessing psychological needs in female cancer patients: a tailored model

BACKGROUND AND AIM OF THE WORK. Psychosocial needs in cancer patients seem to be underestimated and undertreated. The present research was designed to explore under-considered psychosocial needs (e.g., stressful life events, perceived social support, sense of mastery and depressive/anxious symptoms)...

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Autores principales: Miraglia Raineri, Alessandra, Lauro Grotto, Rosapia, Fioravanti, Giulia, Casale, Silvia, Rotella, Francesco, Fei, Leonardo, Villanucci, Alessandro, Amunni, Gianni, Faravelli, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mattioli 1885 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138814/
https://www.ncbi.nlm.nih.gov/pubmed/33855989
http://dx.doi.org/10.23750/abm.v92iS2.11284
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author Miraglia Raineri, Alessandra
Lauro Grotto, Rosapia
Fioravanti, Giulia
Casale, Silvia
Rotella, Francesco
Fei, Leonardo
Villanucci, Alessandro
Amunni, Gianni
Faravelli, Carlo
author_facet Miraglia Raineri, Alessandra
Lauro Grotto, Rosapia
Fioravanti, Giulia
Casale, Silvia
Rotella, Francesco
Fei, Leonardo
Villanucci, Alessandro
Amunni, Gianni
Faravelli, Carlo
author_sort Miraglia Raineri, Alessandra
collection PubMed
description BACKGROUND AND AIM OF THE WORK. Psychosocial needs in cancer patients seem to be underestimated and undertreated. The present research was designed to explore under-considered psychosocial needs (e.g., stressful life events, perceived social support, sense of mastery and depressive/anxious symptoms) of a female cancer group. The aim of the study was to test an assessment psycho-oncological model for female cancer patients. An assessment model of psychosocial needs and Stressful Life Events was operationalized and tests its predictive power. METHODS. We used Discriminant Analysis to test predictive power of the model and of the single variables included in it. 236 oncological patients (mean age 55.50 ± 13.09) were matched with 232 healthy control groups in the study. The following instruments were chosen: the Florence Psychiatric Interview, Hospital Anxiety Depression Scale, Multidimensional Scale of Perceived Social Support, Beck Depression Inventory I, and Sense of Mastery. RESULTS. The model satisfied the assumption criteria and was significant (Ʌ= .680, X(2) = 109.73, p< .001). CONCLUSIONS. Stressful events, depression and anxiety were adequate markers of the assessment psycho-oncological model proposed for female cancer patients. The present study provides contributions in a clinical perspective: the results support the relevance of considering an assessment psychosocial model to use in female oncology for an accurate estimation of the women’s needs. Women affected by female cancer with an history of Stressful Early and Recent life events and high level of anxiety and depression could positively benefit from a psychotherapy treatment. (www.actabiomedica.it)
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spelling pubmed-81388142021-05-26 Assessing psychological needs in female cancer patients: a tailored model Miraglia Raineri, Alessandra Lauro Grotto, Rosapia Fioravanti, Giulia Casale, Silvia Rotella, Francesco Fei, Leonardo Villanucci, Alessandro Amunni, Gianni Faravelli, Carlo Acta Biomed Original Article: Managing Pathologies BACKGROUND AND AIM OF THE WORK. Psychosocial needs in cancer patients seem to be underestimated and undertreated. The present research was designed to explore under-considered psychosocial needs (e.g., stressful life events, perceived social support, sense of mastery and depressive/anxious symptoms) of a female cancer group. The aim of the study was to test an assessment psycho-oncological model for female cancer patients. An assessment model of psychosocial needs and Stressful Life Events was operationalized and tests its predictive power. METHODS. We used Discriminant Analysis to test predictive power of the model and of the single variables included in it. 236 oncological patients (mean age 55.50 ± 13.09) were matched with 232 healthy control groups in the study. The following instruments were chosen: the Florence Psychiatric Interview, Hospital Anxiety Depression Scale, Multidimensional Scale of Perceived Social Support, Beck Depression Inventory I, and Sense of Mastery. RESULTS. The model satisfied the assumption criteria and was significant (Ʌ= .680, X(2) = 109.73, p< .001). CONCLUSIONS. Stressful events, depression and anxiety were adequate markers of the assessment psycho-oncological model proposed for female cancer patients. The present study provides contributions in a clinical perspective: the results support the relevance of considering an assessment psychosocial model to use in female oncology for an accurate estimation of the women’s needs. Women affected by female cancer with an history of Stressful Early and Recent life events and high level of anxiety and depression could positively benefit from a psychotherapy treatment. (www.actabiomedica.it) Mattioli 1885 2021 2021-03-31 /pmc/articles/PMC8138814/ /pubmed/33855989 http://dx.doi.org/10.23750/abm.v92iS2.11284 Text en Copyright: © 2020 ACTA BIO MEDICA SOCIETY OF MEDICINE AND NATURAL SCIENCES OF PARMA https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License
spellingShingle Original Article: Managing Pathologies
Miraglia Raineri, Alessandra
Lauro Grotto, Rosapia
Fioravanti, Giulia
Casale, Silvia
Rotella, Francesco
Fei, Leonardo
Villanucci, Alessandro
Amunni, Gianni
Faravelli, Carlo
Assessing psychological needs in female cancer patients: a tailored model
title Assessing psychological needs in female cancer patients: a tailored model
title_full Assessing psychological needs in female cancer patients: a tailored model
title_fullStr Assessing psychological needs in female cancer patients: a tailored model
title_full_unstemmed Assessing psychological needs in female cancer patients: a tailored model
title_short Assessing psychological needs in female cancer patients: a tailored model
title_sort assessing psychological needs in female cancer patients: a tailored model
topic Original Article: Managing Pathologies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138814/
https://www.ncbi.nlm.nih.gov/pubmed/33855989
http://dx.doi.org/10.23750/abm.v92iS2.11284
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